Quijote-PNG: Simulations of Primordial Non-Gaussianity and the Information Content of the Matter Field Power Spectrum and Bispectrum

Abstract Primordial non-Gaussianity (PNG) is one of the most powerful probes early universe, and measurements large-scale structure universe have potential to transform our understanding this area. However, relating late-time primordial perturbations challenging due nonlinear processes that govern evolution universe. To help address issue, we release a large suite N -body simulations containing four types PNG: quijote-png . These were designed augment quijote explored impact various cosmological parameters on observables. Using these simulations, investigate how much information PNG can be extracted by extending power spectrum bispectrum beyond perturbative regime at z = 0.0. This first joint analysis content accessible with scales. We find constraining improves significantly up k max ≈ 0.3 h Mpc − 1 , diminishing returns as statistical signal-to-noise ratios saturate. saturation emphasizes importance accurately modeling all contributions covariance matrix. Further, combining two method breaking degeneracies ΛCDM parameters.